My main research focus is on using probabilistic models and
machine learning to understand complex domains that involve
large amounts of uncertainty. Within that topic,
my work touches on many areas: representation, inference,
learning, and decision making. We like to be driven by
real-world problems, and therefore a lot of my group's work
tackles various application domains. Most recently, we have
focused on problems in computer vision and in computational
biology and medicine. You can find out more about the group's
work from my publications page and
from the DAGS group page.